Title :
Model-Based Fault Detection using Adaptive Observer
Author_Institution :
Dept. of Autom. Control, Tech. Univ. of Catalonia, Terrassa
Abstract :
This paper presents an approach for fault detection and isolation (FDI) using an adaptive observer. The FDI scheme is based on joint state and parameter estimator which consists of a procedure based on Narendra´s error model, obtained by an extended linearization technique using Kronecker´s calculation. The methodology is applied on a non-linear biological process where faults are modelled as changes in the system parameters
Keywords :
fault diagnosis; matrix algebra; observers; parameter estimation; wastewater treatment; adaptive observer; extended linearization technique; fault detection and isolation; model-based fault detection; nonlinear biological process; parameter estimator; wastewater treatment; Adaptive control; Biological system modeling; Fault detection; Linearization techniques; Nonlinear dynamical systems; Observers; Parameter estimation; Programmable control; Temperature sensors; Water conservation;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347674
